AI-Driven Principal Engineer, SDLC & DevEx

Bank of America Corporation

Charlotte (NC)

On-site

USD 150,000 - 190,000

Full time

4 days ago
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Job summary

Bank of America Corporation is seeking an Agentic AI Engineering Principal Engineer to design, build, integrate, and support AI-enabled capabilities across the Software Delivery Lifecycle (SDLC). You will guide delivery teams in adopting AI solutions for code authoring, tests, automation, and productivity, while upholding enterprise standards.

The role requires hands-on engineering in GitHub Copilot, LangGraph, Semantic Kernel, and SDLC automation, with a track record of scalable, secure

Qualifications

  • 7+ years of software engineering experience across enterprise platforms.
  • Experience delivering AI-enabled engineering solutions in regulated environments.
  • Ability to translate standards into practical implementation patterns.

Responsibilities

  • Develop engineering approach for program/portfolio solutions and enable implementation.
  • Lead design of complex features spanning multiple teams and solution options.
  • Define technology tool stacks aligned with enterprise standards.
  • Oversee end‑to‑end test strategy and cross-team integration.
  • Improve developer experience and productivity with AI-enabled tooling.
  • Drive innovation across technology platforms.

Skills

Software engineering
AI‑assisted engineering
SDLC tooling
GitHub Copilot
LangGraph
Semantic Kernel
CI/CD integration
Secure coding
Agile practices

Education

Bachelor’s degree in computer science, engineering, information systems, applied mathematics, or a related technical field

Tools

GitHub Copilot
LangGraph
Semantic Kernel
Microsoft Agent Framework

Job description

Bank of America Corporation is seeking an Agentic AI Engineering Principal Engineer to design, build, integrate, and support AI-enabled capabilities across the Software Delivery Lifecycle (SDLC). You will guide delivery teams in adopting AI solutions for code authoring, tests, automation, and productivity, while upholding enterprise standards.

The role requires hands-on engineering in GitHub Copilot, LangGraph, Semantic Kernel, and SDLC automation, with a track record of scalable, secure

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